Zamzal

Zamzal — CS2 Stats

MY76561199542505768[U:1:1582240040]Steam profile ↗✓ No bans

1,426Tracked matches64%Win rate2023Tracked since
CSDB Rating7.4 StrongPositional Player
Premier CS Rating20,621Top 50% of 215,558 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)
CSDB Leaderboard#75656 of 261671 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 20,621 → 20,621
+6Tracked matches · now 1,426
+10.7ppWin rate · 53.6% → 64.3%

Rating over time

Premier CS Rating: 20,621 -1,003 27 Aug – 9 Nov · 12 days played
20,62122,348peak 22,34827 Aug9 Nov
22,539Peak Premier in tracked matches
35Days played since 2026-08-18

Premier CS Rating

  • 1,727 below peak (22,348)
  • 0 over 30 days · steady
  • Next: Red band at 25,000 — 4,379 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-07
  • Purple band first seen 2026-09-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGZamzalPREMIER20,621 · Pink bandcsdb.gg/stats

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Performance scores

Aim85
Positioning68
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY54–39–7Last 10054%Win rateWWWLWWLLWT

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −2.3pp headshot accuracy · −2ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 562ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 527ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 528ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+3 against its own average).

Aim8.5
Utility5.8
Positioning6.8
Opening Duels2.7
Clutch0.0

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 95% playstyle similarity

Most alike: utility contribution, positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.5
Positioning6.8
Utility5.8
Mechanics6.9
Opening Duels4.2
Win Impact9.8

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time545ms−66ms
first ⅓ avg 611ms → last ⅓ avg 545ms
Headshot accuracy23.3%−2.8%
first ⅓ avg 26.1% → last ⅓ avg 23.3%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.13Best match rating · 13–2 · vertigo, 11 Oct →
56%Best headshot accuracy · 10–0 · office, 31 Oct →
383msFastest reaction time · 13–10 · vertigo, 28 Sept →
13–1Biggest win · office, 9 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
4–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 81% over 32cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
officeS3226–681%0.00
nukeB115–645%-0.01
dust2B115–645%-0.03
infernoC104–640%-0.01
vertigoB105–550%0.01
ancientD103–730%-0.00
cacheD82–625%0.01
anubis—42–250%-0.02
train—31–233%0.04
mirage—11–0100%0.03

Across the last 100 tracked matches.

Faceit stats

Combat

11Matches
64%Win rate
0.92Avg K/D
79.0ADR
60%Headshot %

Clutches & streaks

0%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage560%1.0514.6
Dust2367%0.7011.3
Ancient1100%1.3013.0
Inferno1100%0.7213.0
Nuke10%0.7613.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.6%Headshot accuracy
36.7%Accuracy (enemy spotted)
37.6%Spray accuracy
81.1%Counter-strafing
8.3°Preaim
535msReaction time
51.0%T opening success
42.8%CT opening success
0.57Enemies flashed / flash
7.9%Flash assists
11.38HE damage / grenade
7.02Flashes / match

Recommended for you

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
office13–5-0.0419%9 Nov →
office13–9-0.0327%9 Nov →
office13–10.0726%9 Nov →
train6–13-0.0323%9 Nov →
office13–50.0639%9 Nov →
office13–50.0125%7 Nov →
inferno6–13-0.0123%7 Nov →
vertigo7–13-0.0819%5 Nov →
inferno13–110.0623%5 Nov →
office12–120.0221%5 Nov →
office13–90.0417%3 Nov →
vertigo11–13-0.0029%2 Nov →
office13–10-0.0119%31 Oct →
office13–8-0.0511%31 Oct →
office10–00.0556%31 Oct →
office10–13-0.0617%31 Oct →
office13–6-0.1021%31 Oct →
office13–40.0949%30 Oct →
office13–5-0.0235%29 Oct →
office13–100.0816%28 Oct →
office13–90.0126%28 Oct →
vertigo10–130.0216%22 Oct →
inferno12–12-0.0017%22 Oct →
anubis13–6-0.0614%22 Oct →
ancient7–13-0.0217%14 Oct →
anubis11–13-0.0320%11 Oct →
vertigo13–20.1324%11 Oct →
nuke3–130.0320%11 Oct →
anubis5–13-0.0415%5 Oct →
dust213–10-0.0521%4 Oct →
ancient11–13-0.0823%4 Oct →
dust29–130.0323%4 Oct →
dust214–16-0.0017%3 Oct →
vertigo3–13-0.0544%3 Oct →
nuke5–13-0.1118%3 Oct →
nuke13–50.0626%29 Sept →
inferno8–13-0.0220%29 Sept →
vertigo13–100.0621%29 Sept →
ancient13–90.0325%29 Sept →
vertigo13–10-0.0130%28 Sept →
ancient12–120.004%25 Sept →
nuke13–90.0325%25 Sept →
office2–8-0.100%11 Sept →
nuke9–130.0025%11 Sept →
inferno13–90.0328%11 Sept →
dust29–13-0.0429%10 Sept →
cache11–130.0517%10 Sept →
nuke10–13-0.0320%10 Sept →
office12–12-0.0327%9 Sept →
office13–20.0331%9 Sept →
inferno10–13-0.0530%9 Sept →
inferno13–40.0742%7 Sept →
office13–50.0126%7 Sept →
office13–60.0930%6 Sept →
office12–120.0331%6 Sept →
office10–1-0.0413%6 Sept →
office13–70.0528%6 Sept →
office13–40.0429%5 Sept →
office6–13-0.0545%5 Sept →
ancient13–20.1125%5 Sept →
cache13–90.0919%5 Sept →
nuke11–13-0.0316%4 Sept →
anubis13–90.0720%4 Sept →
dust213–8-0.0633%4 Sept →
nuke13–70.0627%3 Sept →
cache13–6-0.0230%3 Sept →
train8–130.0829%3 Sept →
ancient8–13-0.0921%3 Sept →
dust211–13-0.0317%3 Sept →
office13–5-0.0143%2 Sept →
nuke4–13-0.0913%2 Sept →
cache11–130.0416%2 Sept →
cache15–15-0.0030%2 Sept →
ancient10–13-0.0127%2 Sept →
train13–60.0721%2 Sept →
vertigo0–4-0.1420%2 Sept →
dust213–16-0.0929%1 Sept →
inferno13–8-0.0217%1 Sept →
cache2–13-0.0845%1 Sept →
mirage13–110.0321%1 Sept →
nuke13–7-0.0319%27 Aug →
dust213–11-0.0622%27 Aug →
cache8–130.0831%26 Aug →
vertigo13–20.0727%23 Aug →
ancient13–10-0.0120%23 Aug →
dust213–70.0116%23 Aug →
office13–90.0230%22 Aug →
office13–10-0.0023%22 Aug →
ancient11–130.0431%22 Aug →
dust26–130.0134%21 Aug →
ancient12–12-0.0223%21 Aug →
dust213–11-0.0231%21 Aug →
nuke13–7-0.0140%21 Aug →
vertigo13–50.0730%20 Aug →
inferno6–13-0.0126%20 Aug →
cache10–13-0.0525%20 Aug →
office13–50.0323%18 Aug →
inferno6–13-0.1017%18 Aug →
office13–2-0.0247%18 Aug →
office13–30.0026%18 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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